Lab: quantitative methods for empirical research
A.A. 2024/2025
Obiettivi formativi
Non definiti
Risultati apprendimento attesi
Non definiti
Periodo: Terzo trimestre
Modalità di valutazione: Giudizio di approvazione
Giudizio di valutazione: superato/non superato
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Programma e organizzazione didattica
Edizione unica
Responsabile
Periodo
Terzo trimestre
Programma
Sessions outline (preliminary):
Session 1 - Course Introduction; The Scientific Method and Scientific Inference
Session 2 - The Basics of Statistical Research I & Introduction to Stata
Session 3 - The Basics of Statistical Research II; Common Data Sources & Preparing Your Data
Session 4 - Describing Reality using Statistics: Indicators & Descriptive Statistics
Session 5 - How to Read & Criticize Quantitative Empirical Research [reading TBC]
Session 6 - Good Research Questions and Hypothesis-Testing
Session 7 - Testing Relationships I: Bivariate Relationships
Session 8 - Testing Relationships II: Multivariate Relationships
Session 9 - Research in Practice I: Applying Methods to Your Research Question
Session 10 - Research in Practice II: Developing and Testing Your Hypotheses with Data
Session 1 - Course Introduction; The Scientific Method and Scientific Inference
Session 2 - The Basics of Statistical Research I & Introduction to Stata
Session 3 - The Basics of Statistical Research II; Common Data Sources & Preparing Your Data
Session 4 - Describing Reality using Statistics: Indicators & Descriptive Statistics
Session 5 - How to Read & Criticize Quantitative Empirical Research [reading TBC]
Session 6 - Good Research Questions and Hypothesis-Testing
Session 7 - Testing Relationships I: Bivariate Relationships
Session 8 - Testing Relationships II: Multivariate Relationships
Session 9 - Research in Practice I: Applying Methods to Your Research Question
Session 10 - Research in Practice II: Developing and Testing Your Hypotheses with Data
Prerequisiti
No specific preliminary knowledge is required. Prior to the start of the lab, students will be approached to better understand their background (if any) in quantitative methods, which will be used to adapt the pace of the course, and, if necessary, learning outcomes.
Metodi didattici
The course sessions are set up through a combination of short interactive lectures, class discussions and assignments, and practical lab sessions. Students are expected to come to class prepared, having studied the assigned literature, and are encouraged to come with their questions to class. During the sessions we will keep in mind your potential final project: your own applied research, that could potentially form the basis of your master thesis. If is therefore helpful if students have a research idea in mind that they further develop over the course of the sessions. Students without a research topic will have opportunities to brainstorm during early sessions.
Students are expected to bring their laptop to class, with the Stata software installed. The university provides the license, see https://work.unimi.it/aree_protette/121946.htm.
Students are expected to bring their laptop to class, with the Stata software installed. The university provides the license, see https://work.unimi.it/aree_protette/121946.htm.
Materiale di riferimento
Selected chapters from:
- Agresti, A and Finlay, B (2014) Statistical Methods for the Social Sciences. Pearson
- Acock, A. (2014). A sweet introduction to Stata. Stata Press
- Firebaugh, G. (2008). Seven Rules for Social Research. Princeton University Press
- Kellstedt, P.M. and Whitten, G.D. (2013). The Fundamentals of Political Science Research. Cambridge University Press.
In the final detailed syllabus, the readings will be specified for each session.
The chapters from books not available in the library will be provided through MyAriel.
- Agresti, A and Finlay, B (2014) Statistical Methods for the Social Sciences. Pearson
- Acock, A. (2014). A sweet introduction to Stata. Stata Press
- Firebaugh, G. (2008). Seven Rules for Social Research. Princeton University Press
- Kellstedt, P.M. and Whitten, G.D. (2013). The Fundamentals of Political Science Research. Cambridge University Press.
In the final detailed syllabus, the readings will be specified for each session.
The chapters from books not available in the library will be provided through MyAriel.
Modalità di verifica dell’apprendimento e criteri di valutazione
This is a pass/fail course. Active class participation is mandatory. Students are allowed to miss up to two sessions with a valid reason, but there is a strict 80% minimum participation required to pass the course.
Docente/i